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Firstly, the different factors in the hydrological process and information treatment were analyzed. Secondly, application of the neural networks model with the basis of genetic Algorithms were studied. Thirdly, based on GIS map, the basin rainfall runoff forecast method was put forward. Through GIS rainfall information treatment, the precision of input datum to the rainfall runoff model was improved. Finally, through example analysis, the dependability and efficiency of the method application in rainfall runoff forecast was examined.

There are a lot of factors to influence water environment evaluation. The mutual-effect is very complex. In order to reflect clearly the effects of different factors in water environment evaluation, the paper adopted fuzzy comprehensive evaluation method to deal with water environment. It is shown from study results that the fuzzy comprehensive method has good dependability for water environment evaluation. The method can calculate the main pollutants, provide data for reasonable water environment management and play reference role in other methods used in water environment evaluation.